Come join a higher calling and find a deeper purpose!
As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking.
While inventing the framework of Autonomous Driving, our current fleet of autonomous Trucks are helping communities receive much-needed supplies and medical equipment around the clock. Our people are some of the most talented engineers and contributors who are leaving behind a historic legacy.
TuSimple was founded half a decade ago with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple is working to create the first global commercially viable Autonomous Freight Network.
Work with massive datasets on data association, clustering, segmentation, filtering, and estimation
Analyze and improve existing data sources and metrics
Develop novel approaches to measuring and improving self-driving system
Closely collaborate with other teams to conduct system design, integration and testing
Ph.D. in Computer Science, Mathematics, Statistics or other related fields
Solid knowledge and proven practical experience in one or more of the following fields: data mining, anomaly detection, supervised learning, clustering, causal inference
Strong coding skills in Python
Publications in related conferences and/or journals
1-2 years academic or industrial experience in Data mining
Work with world class AI Engineers
Shape the landscape of autonomous driving
Daily breakfast, lunch, and dinner
Full kitchen with unlimited snacks and fruits
TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.
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